Equilibria and Information Provision in Risky Networks with Risk-Averse Drivers

We study the impact of information on risk-averse drivers who maximize their expected utility (rather than minimizing expected travel time). For two routes in parallel with risky travel time, we show that equilibrium travel times depend on the distribution of risk aversion as well as on provision of information. Besides the mean variance model used so far in transportation, we consider three other standard utility functions. Interestingly, we find that optimal route choice may depend on global factors such as the length of the journey. Finally, we study the benefit of information according to the level of risk aversion.